fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role: 

As a Senior Data Scientist for Go-to-Market at fal, you will be the analytical backbone of our revenue organization. Embedded directly with the GTM function, you will own the metrics that tell us how our pipeline is performing, how our sales team is executing, and where the next dollar of revenue is most likely to come from.

This is a high-leverage, high-visibility role. GTM leadership will look to you for the answers - on rep performance, quota attainment, pipeline health, AM coverage, and segment economics - and you'll shape both the questions we ask and the systems we build to answer them. You'll partner closely with Product Intelligence and Data Engineering as part of fal's center-of-excellence data team, while acting as the embedded specialist for everything GTM.

Key responsibilities:

• Own the metrics and reporting that drive sales execution at fal: pipeline health, quota attainment, conversion rates, sales cycle, AM coverage, and segment-level economics.
• Partner directly with the sales leadership and rev-ops to translate strategic questions into measurement frameworks and weekly operating cadences.
• Build the data foundations that make GTM analytics first-class: account-manager tracking, territory and quota models, opportunity-stage instrumentation, and rep-level performance views.
• Run rigorous deep-dives - win/loss, lead source effectiveness, segmentation, expansion drivers - that change how GTM allocates time and headcount.
• Shape the CRM, internal tooling, and downstream data models that everyone in GTM depends on, and set the standards for how GTM data is captured, joined, and trusted.

Requirements:

• 5+ years of experience in data science or analytics roles, with at least 3+ years specifically in GTM, RevOps, or sales analytics at an enterprise or B2B SaaS company. This is a hard requirement - we are looking for someone who has seen many variations of this problem and can run with it.
• Advanced SQL and proficiency in Python for analytics, modeling, and experimentation.
• Deep familiarity with Salesforce data, pipeline mechanics, quota and territory models, and the operational rhythms of an enterprise sales org.
• Strong proficiency with dbt and modern analytics stacks; comfort partnering with data engineering on production-grade pipelines.
• Proven ability to operate as an embedded analytics partner - building trust with sales leadership and translating ambiguous strategic asks into clear measurement.
• Demonstrated bias for action; you set up the dashboard, write the SQL, and ship the framework yourself when needed.
• A track record of shipping data products that change behavior, not just dashboards that get viewed once.

Nice to have:

• Experience supporting both self-serve/PLG and enterprise sales motions.
• Experience working on developer-facing or API products.
• Familiarity with usage-based pricing and consumption-driven sales motions.
• Early-stage or fast-scaling environment experience.

Compensation

• $180,000-225,000 plus equity + benefits (This range is across 2 levles Senior and Staff)

Location

• San Francisco, CA (willing to consider remote for Senior and Staff levels)

What we offer at fal

• Interesting and challenging work

• A lot of learning and growth opportunities

• We are currently hiring in downtown San Francisco.

• We offer relocation assistance to San Francisco.

• Health, dental, and vision insurance (US)

• Regular team events and offsites

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

Why this role matters

You’ll shape the future of fal’s inference engine and ensure our generative models achieve best-in-class performance. Your work directly impacts our ability to rapidly deliver cutting-edge creative solutions to users, from individual creators to global brands.

You might be a fit if you

• Are deeply experienced in ML performance optimization. You've optimized inference for large-scale generative models in production environments.
• Understand the full ML performance stack. From PyTorch, TensorRT, TransformerEngine, Triton to CUTLASS kernels, you’ve navigated and optimized them all.
• Know inference inside-out. Expert-level familiarity with advanced inference techniques: quantization, kernel authoring, compilation, model parallelism (TP, context/sequence parallel, expert parallel), distributed serving and profiling.
• Lead from the front. You're a respected IC who enjoys getting hands-on with the toughest problems, demonstrating excellence to inspire your team.
• Thrive in cross-functional collaboration. Comfortable interfacing closely with applied ML teams, researchers, and stakeholders.

Nice-to-haves

• Experience building inference engines specifically for diffusion and generative media models
• Track record of industry-leading performance improvements (papers, open-source contributions, benchmarks)
• Leadership experience in scaling technical teams

What you'll get

One of the highest impact roles at one of the fastest growing companies (revenue is growing 40% MoM, we are 60x+ RR compared to last year, raised Series A/B/C within the last 12 months) with a world changing vision: hyperscaling human creativity.

Sound like your calling? Share your proudest optimization breakthrough, open-source contribution, or performance milestone with us. Let's set new standards for inference performance, together.

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About the Role

We’re looking for a Security Engineer, Infrastructure to secure the core systems that power fal.ai’s platform: GPU compute, multi-cloud environments, networking, and data pipelines. You’ll operate across the full stack, from cloud and Kubernetes to identity, networking, and secrets, designing and implementing security controls that scale with a high-performance AI platform. This role is highly hands-on and systems-oriented, sitting at the intersection of security, infrastructure, and distributed systems.

What You’ll Do

Build & Harden Infrastructure Security

Design and implement security controls across:

• Cloud infrastructure
• Kubernetes and containerized workloads
• Networking, service meshes, and edge systems
• CI/CD pipelines and deployment systems
• Secure compute environments for GPU workloads and model execution

Identity, Secrets & Access

• Machine identity and workload authentication
• Secrets management and encryption (e.g., Vault, KMS)
• Least-privilege access and short-lived credentials
• Implement Zero Trust principles across infrastructure

Secure AI & Data Systems

• Protect model weights, inference endpoints, and customer data
• Design secure data access pathways and isolation mechanisms
• Ensure safe multi-tenant execution environments

Automation & Security Tooling

• Build security guardrails directly into infrastructure and CI/CD
• Use Infrastructure-as-Code (Terraform, Pulumi) to enforce secure defaults
• Continuously identify and remediate security gaps through automation

Threat Modeling & Risk Reduction

• Identify and mitigate risks across infrastructure layers
• Defend against both external attackers and insider threats
• Drive projects like network isolation, encryption, and secure service communication

Cross-Functional Collaboration

• Partner with platform, infra, and ML teams to drive shift-left security
• Enable engineers to move fast with secure-by-default systems
• Contribute to a strong security culture across the company

What We’re Looking For

Core Requirements

• 8+ years in security engineering, infrastructure, or SRE
• Strong understanding of:
• Cloud security (AWS, GCP, or Azure)
• Networking fundamentals (segmentation, firewalls, Zero Trust)
• Linux systems and container security (Docker, Kubernetes)
• Experience building or securing production infrastructure at scale

Security Expertise

Deep knowledge of:

• Authentication & authorization systems
• Secrets management and cryptography basics
• Common vulnerabilities and attack vectors
• Ability to design security controls across multiple layers (infra → app)

Engineering Skills

• Proficiency in at least one language (Go, Python, or similar)
• Experience with Infrastructure-as-Code (Terraform preferred)
• Strong automation mindset—security should scale with systems

Nice to Have

Experience with:

• GPU infrastructure or ML systems
• Multi-tenant platform isolation
• Service mesh / zero-trust architectures
• High-growth startup environments

What Makes This Role Unique

• Work on cutting-edge AI infrastructure security (not just SaaS)
• Secure GPU clusters, model execution, and real-time inference systems
• High ownership: design systems from first principles
• Direct impact on developer trust and platform reliability

Our Security Philosophy

• Secure-by-default > bolt-on security
• Enable developers, don’t block them
• Automate everything
• Assume breach, design for resilience

Compensation & Benefits

• Competitive salary + equity
• Full health, dental, and vision coverage
• Opportunity to work on frontier AI infrastructure

Why fal.ai

You’ll help define what security looks like for the next generation of AI infrastructure—where performance, scale, and safety all matter.

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role

We are looking for a Software Engineer to help build the next generation of usage-based billing systems at fal. This role is ideal for someone passionate about designing scalable event-driven systems that integrate tightly with Stripe and Orb, power real-time usage tracking, and deliver accurate, flexible billing experiences for customers.

You will work cross-functionally with Product, Finance, and Infrastructure teams to ensure our billing system is robust, accurate, and capable of supporting new pricing models as our product grows.

What You'll Do

• Design and build event-driven billing systems that process real-time usage data.
• Integrate with Orb for usage metering and Stripe for payments and invoicing.
• Build Python-based microservices running on Kubernetes to handle billing workflows.
• Develop data storage and processing flows for downstream analysis in BigQuery.
• Collaborate with product engineers to build Next.js dashboards and admin tools for billing insights and reconciliation.
• Ensure billing systems are accurate, auditable, and scalable to support new product launches and pricing models.
• Partner with Finance to automate reporting, reconciliation, and revenue analytics.

What We're Looking For

• Experience with usage-based billing systems or event-driven architectures.
• Strong Python skills for backend microservices.
• Familiarity with Stripe (payments, invoicing) and Orb (usage metering) APIs.
• Experience with Postgres for transactional data and BigQuery for analytics.
• Experience with Kubernetes and containerized deployments.
• Ability to build admin interfaces or customer dashboards using Next.js.
• Comfort working with event-driven data pipelines (e.g., Kafka, Pub/Sub, or similar).
• Strong cross-functional collaboration skills with Finance, Product, and Data teams.

Nice to Have

• Experience with FinTech, SaaS, or cloud usage billing at scale.
• Familiarity with cloud providers (AWS, GCP) and their billing models.
• Knowledge of pricing experimentation or monetization platforms.

Compensation

• $160,000 - $200,000 + equity + comprehensive benefits package

Location

• We are currently hiring in downtown San Francisco.

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role: 

Help fal maintain its frontier position on model performance for generative media models. Design and implement novel approaches to model serving architecture on top of our in-house inference engine, focusing on maximizing throughput while minimizing latency and resource usage. Develop performance monitoring and profiling tools to identify bottlenecks and optimization opportunities. Work closely with our Applied ML team and customers (frontier labs on the media space) and make sure their workloads benefit from our accelerator.

Key Responsibilities:

• Help fal maintain its frontier position on model performance for generative media models.

• Design and implement novel approaches to model serving architecture on top of our in-house inference engine, focusing on maximizing throughput while minimizing latency and resource usage.

• Develop performance monitoring and profiling tools to identify bottlenecks and optimization opportunities.

• Work closely with our Applied ML team and customers (frontier labs on the media space) and make sure their workloads benefit from our accelerator.

Requirements:

• Strong foundation in systems programming with expertise in identifying and fixing bottlenecks.

• Deep understanding of cutting edge ML infrastructure stack (anything from PyTorch, TensorRT, TransformerEngine to Nsight), including model compilation, quantization, and serving architectures. Ideally following closely the developments in all these systems as they happen.

• Have a fundamental view of the underlying hardware (Nvidia based systems at the moment), and when necessary go deeper into the stack to fix bottlenecks (custom GEMM kernels with CUTLASS for common shapes).

• Proficient in Triton or willingness to learn with comparable experience in lower-level accelerator programming.

• New frontier: multi-dimensional model parallelism (combining multiple parallelism techniques like TP with context parallel / sequence parallel).

• Familiar with internals of Ring Attention, FA3, FusedMLP implementations.

What we offer at fal:

• Interesting and challenging work

• Competitive salary and equity

• A lot of learning and growth opportunities

• We offer relocation assistance to San Francisco.

• Health, dental, and vision insurance (US)

• Regular team events and offsite

Compensation:

• $180,000 - $250,000 + equity + comprehensive benefits package

Location:

• We are currently hiring in downtown San Francisco.

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role

As a Forward Deployed Engineer on Serverless, you will work directly with enterprise customers to help them deploy, scale, and operationalize their AI workloads on fal. This is a highly technical, customer-facing role where you’ll act as the bridge between Sales, Product and Infrastructure teams.

You’ll join customer calls, deeply understand their architecture and needs, and translate those into actionable implementation plans and product requirements. You will be responsible for unblocking customer deployments, accelerating onboarding, and ensuring enterprise accounts successfully reach production fast.

This is a role for someone who loves solving real-world engineering problems and wants direct ownership over outcomes that drive revenue and product growth.

What you’ll work on

• Join enterprise onboarding calls and act as the technical owner for deployments
• Help customers integrate their models into fal Serverless (APIs, scaling, observability, deployment workflows)
• Debug customer issues end-to-end across frontend, backend, and infra layers
• Translate customer feedback into clear product specs, tasks, and engineering priorities
• Work closely with Product + Infra to ensure enterprise needs are shipped into the platform
• Build custom proofs-of-concept or lightweight integrations to unblock adoption
• Identify repeatable patterns across customers and turn them into reusable product features
• Improve internal tooling, onboarding flows, and docs based on real customer pain points
  
  

What we’re looking for

• Strong engineering background (Proficiency with TypeScript, Python, Postgres, and Next.js)
• Experience working with customers in a technical capacity (Solutions Engineer, Forward Deployed Engineer, DevRel Engineer, or similar)
• Comfortable jumping into ambiguous customer problems and finding solutions fast
• Ability to understand complex systems and communicate clearly with both technical and non-technical stakeholders
• Strong written communication skills (turning customer conversations into actionable specs/tasks)
• Experience working across APIs, infrastructure, and cloud environments
• High ownership mentality: you take responsibility for customer success end-to-end
• Comfort operating in a fast-moving, low-process environment
  
  

Nice to have

• Experience with serverless platforms, infra products, or developer platforms
• Familiarity with observability tooling (logs, metrics, tracing)
• Background in distributed systems, Kubernetes, or cloud-native deployments
• Experience with AI/ML workloads in production
• Experience writing documentation, onboarding guides, or customer playbooks
  
  

Why join

• Own the success of fal’s most important enterprise deployments
• Work on a product used at massive scale with real production workloads
• Direct influence over product roadmap through customer feedback loops
• High autonomy and visibility across Product, Infra, and Sales leadership
• Be a foundational member of a rapidly growing product vertical
• Work at one of the fastest-growing AI startups, helping shape a new category

What we offer at fal

• Interesting and challenging work
• Competitive salary and equity
• A lot of learning and growth opportunities
• We offer relocation assistance to San Francisco.
• Health, dental, and vision insurance (US)
• Regular team events and offsite

Compensation

• $150,000 - $230,000 + equity + comprehensive benefits package

Location

• We are currently hiring in downtown San Francisco.

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role: 

You build the custom compute environments we deliver to customers — bare metal or virtual machines with GPU passthrough, dedicated Kubernetes clusters, and the networking that ties them together. You work across the full stack from Linux image building to overlay network design to cluster bootstrapping.

Key responsibilities

• Build and deliver custom environments with excellent GPU performance for customer workloads
• Leverage AI to an extreme level to automate provisioning, alerting and recovery
• Provision and configure dedicated Kubernetes clusters tailored to customer requirements
• Design and implement overlay networking (VLAN, VXLAN) and routing configurations (ECMP, BGP) and tunnels (strongSwan, IPSEC) for tenant isolation and performance
• Build and maintain Linux images
• Set up network monitoring and diagnostics for customer environments
• Automate the end-to-end lifecycle of customer compute environments: creation, configuration, validation, and teardown

Requirements

• 5+ years experience with Linux virtualization: KVM/QEMU, libvirt, VFIO device passthrough, hugepages, NUMA, CPU pinning
• Strong networking fundamentals: VXLAN, VLAN, ECMP, BGP, ARP, and the ability to debug packet-level issues (tcpdump, Wireshark)
• Production experience building and operating Kubernetes clusters on bare metal (MetalLB)
• Proficiency with Linux image building and OS provisioning (kickstart, cloud-init, PXE/iPXE)
• Proficiency in Python, Bash, Ansible and Terraform
• Deep experience with NVIDIA GPUs: drivers, MIG, container runtimes (nvidia-container-toolkit), InfiniBand, RDMA/RoCEv2 and GPUDirect for high-performance AI networking
• Excellent communication and ability to drive technical decisions across teams
• Self-starter who executes quickly, takes ownership, and constantly seeks improvement

Nice to have

• Experience with SR-IOV, DPDK, or other high-performance networking technologies
• Experience with shared network storage (Ceph, Lustre, Weka)
• Experience with network automation tools (Netbox, Nautobot, Nornir)

Compensation

• $180,000-250,000 plus equity + benefits (This range encompasses 2 levels Senior and Staff)

Location

• San Francisco, CA

What we offer at fal

• Interesting and challenging work
• A lot of learning and growth opportunities
• We are currently hiring in downtown San Francisco.
• We offer relocation assistance to San Francisco.
• Health, dental, and vision insurance (US)
• Regular team events and offsites

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role

You are a seasoned SRE who keeps production infrastructure running at scale. You own the reliability and availability of customer-facing systems — from Kubernetes clusters to deployment pipelines to the networking layer that connects it all. You think in SLOs, automate ruthlessly, and treat every incident as a chance to make the system better.

Key Responsibilities

• Own and operate our Kubernetes infrastructure: cluster lifecycle, upgrades, networking, and multi-tenant isolation for customer workloads
• Build and maintain CI/CD pipelines and deployment infrastructure
• Leverage AI to an extreme level to automate analysis and resolution of production issues, and improve software development speed, reliability and maintainability
• Build dashboards, alerting, and anomaly detection across our systems
• Define and enforce SLOs and build out incident response processes
• Manage and improve our networking, load balancing, and service mesh configurations
• Drive reliability improvements across the stack through automation, runbooks, and chaos engineering

Requirements

• 5+ years experience in managing critical production systems and software development workflows
• Strong production experience setting up and operating Kubernetes at scale, using infrastructure-as-code (Terraform, Ansible)
• Deep knowledge of Linux networking, container networking (CNI plugins, VXLAN, BGP), and DNS
• Experience building CI/CD systems and GitOps workflows (FluxCD, ArgoCD)
• Proficiency in Python and either Go or Bash for tooling and automation
• Strong experience with logging, monitoring and alerting (Prometheus, Grafana, Loki, Thanos, VictoriaMetrics, Datadog)
• Excellent communication and ability to drive technical decisions across teams
• Self-starter who executes quickly, takes ownership, and constantly seeks improvement

Nice to have

• Experience with managing GPU and AI/ML workloads
• Experience with kernel-based monitoring and routing (eBPF, XDP)
• Experience with security tooling (Falco, Coroot, SIEM)
• Experience with bare metal Kubernetes networking (Calico, Cilium, MetalLB)
• Experience with distributed storage systems (Ceph, Longhorn, etc.)

Compensation

• $180,000-250,000 plus equity + benefits (Range is based across 3 levels MId, Senior and Staff)

Location

• San Francisco, CA (willing to consider remote for Senior and Staff levels)

What we offer at fal

• Interesting and challenging work
• A lot of learning and growth opportunities
• We are currently hiring in downtown San Francisco.
• We offer relocation assistance to San Francisco.
• Health, dental, and vision insurance (US)

• Regular team events and offsites

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role

You are a versatile engineer who thrives on building and deploying seamless user experiences. You possess a strong understanding of both backend and frontend technologies, enabling you to take ownership of features from concept to launch. You are proficient in crafting robust APIs, managing databases, and developing interactive user interfaces. Your focus is on delivering high-quality, scalable, and maintainable products.

Key Responsibilities:

• You will have access to our cloud infrastructure for development and deployment. You will make our model playgrounds more interactive and help make them more discoverable.

• Some core technologies we use include Typescript, Python, Postgres, and Next.js.

• You'll collaborate with a cross-functional team to rapidly iterate and deploy new features.

What we offer at fal:

• Interesting and challenging work

• Competitive salary and equity

• A lot of learning and growth opportunities

• We offer relocation assistance to San Francisco.

• Health, dental, and vision insurance (US)

• Regular team events and offsite

Compensation:

• $180,000 - $230,000 + equity + comprehensive benefits package

Location:

• We are currently hiring in downtown San Francisco.

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role:

You are a hands-on engineer who builds the software and processes that keep a large fleet of GPU servers healthy and productive. You write systems and tooling for managing 1000s of servers including  provisioning, health monitoring, error detection, and recovery — and when something breaks that automation can’t fix, you drive resolution with partners.

Key responsibilities

• Build and maintain Python fleet tracking system that manages the full lifecycle of servers including contracting and procurement, target use, pricing, availability, health, RMAs, etc
• Build server management tooling that automates provisioning, health checks, GPU diagnostics, recovery and alerting
• Create and maintain metrics, dashboards, and alerting for hardware health across the fleet (GPU errors, disk failures, network issues, thermals)
• Leverage AI to an extreme level to build tools and automate alerting and recovery
• Implement and enforce OS-level security: hardening baselines, SELinux/AppArmor policies, SSH key management, vulnerability scanning, and compliance automation
• Manage and optimize distributed and local storage systems supporting model weights, checkpoints, and ephemeral scratch: NVMe arrays, NFS, parallel file systems, and object storage
• Tune Linux systems for AI workloads: kernel parameters, NUMA topology, CPU pinning, hugepages, I/O schedulers, and GPU driver stack optimization (NVIDIA drivers, CUDA, container runtimes)
• Develop a suite of automated error detection and recovery processes
• Work with partners to solve technical issues

Requirements

• 3+ years experience managing bare-metal and cloud based server fleets at scale (100+ nodes)
• Strong software engineering skills in Python; you write production tooling, not scripts
• Deep Linux systems knowledge: boot process, kernel tuning, networking, storage, systemd, cgroups, namespaces, performance profiling
• Strong experience with configuration management and infrastructure-as-code: Ansible, Terraform, cloud-init
• Solid understanding of storage technologies: LVM, RAID, NVMe, NFS, Lustre or GPFS, and Linux I/O stack tuning
• Familiarity with hardware diagnostics and failure modes (GPUs, NVMe, NICs, memory)
• Experience building internal tools or dashboards for infrastructure visibility
• Excellent communication and ability to drive technical decisions across teams
• Self-starter who executes quickly, takes ownership, and constantly seeks improvement

Nice to have

• Familiarity with network configuration and diagnostics (VLAN, VXLAN, ECMP, BGP, tcpdump)
• Experience with NVIDIA GPU infrastructure: driver management, health monitoring, DCGM, NVLink/NVSwitch diagnostics, RDMA, InfiniBand/RoCEv2
• Experience with AMD GPUs
• Experience with bare metal and VM provisioning (PXE/iPXE, Kickstart, libvirt, Qemu/KVM)
• Experience with compliance frameworks relevant to cloud providers (SOC 2, ISO 27001)

Location

• Turkey

• We are hiring for Mid, Senior and Staff levels

What we offer at fal

• Interesting and challenging work
• A lot of learning and growth opportunities
• Regular team events and offsites

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role

You’ll sit at the intersection of engineering, product, and GTM. Your scrappy prototypes, experiments, and content will be the first touchpoint for new creators, studios, and Fortune 500 innovation teams. When you do your job well, the rest of the company feels it in tomorrow’s dashboards.

What you’ll do

Spin up lightweight client libraries, demo apps, or event microsites in a few hours.

Run data-driven experiments. Segment cohorts, design A/B tests, and automate reporting. We have a clear, metric-based view of acquisition cost and activation rate for every segment.

Draft compelling blog posts, tweets, and teardown threads (zero “AI slop”).

Our content consistently drives qualified sign-ups and sparks industry conversations.

Own customer touchpoints: Meet prospects, debug their first calls, and represent fal at meetups and hackathons. Prospects leave every interaction saying, “These folks get it—and ship fast.”

Identify high-leverage problems, time-box solutions, and ship. After ramp-up, you propose your own roadmap—and we mostly just say “Yes.”

You might be a fit if you

• Ship code at the speed of thought. Fluent in Python and JavaScript (Next.js, React) and can stitch APIs, CLIs, and scrapers together before lunch.

• Live in the metrics. SQL, Amplitude/Looker, or plain-text CSVs—whatever gets you to the insight fastest.

• Write to persuade. Your copy earns clicks because it’s human, helpful, and opinionated.

• Love people as much as code. You’re energized by demos, DMs, and IRL events.

• Crave ownership. Ambiguous problems and blank pages don’t scare you; they excite you.

• Geek out on generative media. You follow the latest diffusion paper for fun and have strong opinions on video model architectures.

Nice-to-haves

• Prior experience in PLG or developer-tool startups

• Familiarity with growth analytics stacks

• A portfolio of technical writing, open-source libs, or side projects

Compensation:

• $170,000 - $220,000 + equity + comprehensive benefits package

What we offer at fal

• Interesting and challenging work

• A lot of learning and growth opportunities

• We offer relocation assistance to San Francisco.

• Health, dental, and vision insurance (US)

• Regular team events and offsites

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role:

As a Full Stack Engineer on Serverless, you will build the core product across frontend and backend that powers fal’s Serverless platform. This is a deeply product-focused role. You will work side-by-side with Product and Infrastructure to design and ship reusable, scalable systems that enterprise customers rely on in production every day.

You will be a foundational technical owner of fal Serverless as it scales to thousands of enterprise customers, with real responsibility, autonomy, and impact. This is a chance to help build a new product vertical from the ground up inside a company that is already scaling at rocket-ship speed.

What you’ll work on:

• Build and maintain core Serverless UI features (dashboards, logs, observability, configuration, usage)
• Design and implement backend APIs that power the Serverless product experience
• Improve performance, reliability, and scalability of customer-facing systems
• Work closely with Infrastructure to ensure product features align with platform capabilities
• Own features end-to-end, from design through production and iteration
  
  

What we’re looking for:

• Strong experience working across both frontend and backend
• Proficiency with TypeScript, Python, Postgres, and Next.js
• Experience owning features end-to-end in production systems
  Ability to context switch between UI, backend, and performance work
• Product-minded engineer who values clean abstractions and long-term maintainability
• Comfortable working in a fast-moving, low-process environment
  
  

Nice to have:

• Experience building developer platforms or infrastructure-adjacent products
• Familiarity with observability tooling (logging, metrics, tracing) in production environments
• Background in distributed systems, container orchestration, or cloud-native architectures
• Experience with real-time systems, streaming logs, or high-throughput data pipelines
• Exposure to technologies such as Kubernetes, Prometheus, Datadog, gRPC, or similar systems
• Entrepreneurial mindset and strong ownership mentality

What we offer at fal:

• Interesting and challenging work
• Competitive salary and equity
• A lot of learning and growth opportunities
• We offer relocation assistance to San Francisco.
• Health, dental, and vision insurance (US)
• Regular team events and offsite

Compensation:

• $150,000 - $230,000 + equity + comprehensive benefits package

Location:

• We are currently hiring in downtown San Francisco.

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role: 

You are an experienced software engineer who thrives on building large-scale computing platforms. You have deep expertise in large scale distributed systems that deal with high complexity, a lot of traffic and data. You know how to achieve reliability and scale with minimum operational load.

Key responsibilities

• Build our core Python/Rust platform: request routing, AI workload orchestration, scheduling, GPU autoscaling, large scale file storage, queueing, etc
• Produce forward designs for platform evolution as we scale to 100x current traffic and need to provide low latency across the world
• Leverage AI to an extreme level to automate the mundane parts of building complex but reliable systems
• Profile and tune low level CPU and memory performance

Requirements

• 3+ years experience building distributed compute and orchestration platforms in Python or Rust
• Strong understanding of distributed systems fundamentals: consensus, scheduling, fault tolerance, capacity planning
• Deep understanding of computational complexity and memory allocation
• Track record of designing systems that scale under real production load
• Experience building and using observability to drive performance and reliability decisions
• Excellent communication and ability to drive technical decisions across teams
• Self-starter who executes quickly, takes ownership, and constantly seeks improvement

Nice to have

• Experience with AI/ML inference or training infrastructure
• Experience with high-performance systems programming (async runtimes, zero-copy, memory-safe concurrency)
• Background in building multi-tenant compute platforms
• Understanding of networking fundamentals and performance characteristics
• Familiarity with GPU workload characteristics and scheduling constraints

Compensation

• $180,000-250,000 plus equity + benefits (This range is across all 3 levels Mid, Senior and Staff)

Location

• San Francisco, CA (willing to consider remote for Senior and Staff levels)

What we offer at fal

• Interesting and challenging work

• A lot of learning and growth opportunities

• We are currently hiring in downtown San Francisco.

• We offer relocation assistance to San Francisco.

• Health, dental, and vision insurance (US)

• Regular team events and offsites

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role:

This role is ideal for engineers who want to be on the forefront of the GenAI media revolution. Utilize your deep experience with backend APIs, robust http client and server design to build high-performance, reliable proxies to our partner model providers.

Responsibilities

• Identify, design, and develop foundational HTTP proxies and fal serverless endpoints for 3rd party model providers
  
  
• Write clear, well-tested, and maintainable software
  
  
• Analyze and improve the robustness and scalability of our existing proxies, APIs and fallback infrastructure
  
  
• Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance
  
  

Requirements

• 3+ years of demonstrated experience in building HTTP services with Python
  
  
• Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources
  
  
• Proficiency in version control practices and CI/CD pipelines.
  
  

What we offer at fal

• Interesting and challenging work
  
  
• Competitive salary and equity
  
  
• A lot of learning and growth opportunities
  
  
• We offer relocation assistance to San Francisco.
  
  
• Health, dental, and vision insurance (US)
  
  
• Regular team events and offsite
  
  

Compensation

• $150,000 - $200,000 + equity + comprehensive benefits package
  
  

Location

• We are currently hiring in downtown San Francisco.
  
  

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role:

You are an ML Engineer who has a broad view of the generative media space and an update-to-date awareness of new methods in the space. You can spot products and features that are missing in the current market and work backwards to develop new methods to solve customers problems. Your work will focus on developing, fine-tuning, and operationalizing machine learning models to enhance user experiences. Sometimes your work will require entirely novel training or architecture developments. While other times it will require fine-tuning pre-existing models with novel datasets. 

Tech

• You will have access to our massive GPU cluster for training and inference

• Some core technologies we use include Python, torch, diffusers, and the fal Python SDK

• You'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs

Compensation

• $170,000 - $250,000 + equity + comprehensive benefits package

Location

• San Francisco, CA

What we offer at fal

• Interesting and challenging work

• A lot of learning and growth opportunities

• We offer relocation assistance to San Francisco.

• Health, dental, and vision insurance (US)

• Regular team events and offsites

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role:

This role is ideal for engineers who thrive on complex distributed systems and have deep experience with backend APIs, relational databases, and event-driven architectures. You’ll build high-performance, reliable solutions across cloud-native platforms and global infrastructure for a fast-scaling, commerce-driven company.

Responsibilities

• Identify, design, and develop foundational backend services that power Fal's commerce platform

• Partner with product teams to understand functional requirements and deliver solutions that meet business needs

• Write clear, well-tested, and maintainable software and IaC for both new and existing systems

• Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure

• Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance

Requirements

• 5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems and API microservices

• Expert-level programmer in one or more of Python, Go, Or Rust

• Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources

• Proficiency in writing and maintaining Infrastructure as Code (IaC)

• Proficiency in version control practices and integrating IaC with CI/CD pipelines.

• Experience with payment processors (e.g. Stripe) and billing systems a plus

• Experience with Kubernetes, or containers a plus

• Experience building and operating data infrastructure (Kinesis, Airflow, Kafka, etc) a plus

What we offer at fal:

• Interesting and challenging work

• Competitive salary and equity

• A lot of learning and growth opportunities

• We offer relocation assistance to San Francisco.

• Health, dental, and vision insurance (US)

• Regular team events and offsite

Compensation:

• $180,000 - $250,000 + equity + comprehensive benefits package

Location:

• We are currently hiring in downtown San Francisco.

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role:

You are a versatile designer who thrives with ambiguity, who can move at fal speed while keeping the UI fast + consistent.

Must Have

• Strong product UI/visual craft + portfolio of shipped work.
• Experience designing web AND mobile product experiences: can create dedicated mobile screens (not just “responsive web”) and understands mobile UI patterns, navigation paradigms, constraints, and edge cases.
• Solid design systems experience (components/tokens/variants/docs + working with engineering for adoption).
• Comfortable owning features end-to-end (flows → UI → handoff → QA) in a high-velocity startup.
• AI-assisted / “vibe coding” prototyping mindset (uses modern tools to prototype quickly; production code not required, but code-based prototyping is a plus).
• Can run scrappy user research/testing and iterate based on customer feedback.
• Accessibility + responsive fundamentals (but again: must also design true mobile experiences).
• Strong cross-functional communication; can define success metrics with PM/Eng and iterate post-launch.

Key responsibilities

• Own end-to-end product design for features (problem framing → flows → UI → states/edge cases → handoff → QA → iterate).
• Design across web + true mobile experiences (dedicated mobile screens + mobile patterns; not just responsive web).
• Help build/maintain the design system (components/tokens/patterns/docs) and drive adoption with engineering.
• Prototype fast (Figma + AI/vibe-coding tools when useful) to validate direction.
• Partner tightly with Eng/PM to ship quickly, keep quality high, and improve post-launch with feedback.
• Do lightweight user research/testing (scrappy usability checks, customer calls, quick validation).
• Nice-to-have “extra output” when needed: Google Slides decks + light graphic/brand assets.

Nice to have

• Familiarity with generative media / LLMs / image (or video) models and the UX patterns around prompts, parameters, evaluation, latency/quality tradeoffs.
• Front-end literacy (React/TypeScript/CSS) and/or Storybook-style component workflows.
• Willing to support lightweight GTM/design needs sometimes: pitch decks (Google Slides) and basic graphic design (simple visuals, social cards, light marketing assets).
• Any experience (or interest) in graphic design / brand design (doesn’t need to be a brand lead—just enough taste/skill to help when needed).

What we offer at fal

• Interesting and challenging work
• Competitive salary and equity
• A lot of learning and growth opportunities
• We offer visa sponsorship and will help you relocate to San Francisco.
• Health, dental, and vision insurance (US)
• Regular team events and offsite

Compensation:

• $180,000 - $230,000 + equity + comprehensive benefits package

Location:

• We are currently hiring in downtown San Francisco.

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role:

As a Senior Data Scientist for Product Intelligence, you will architect the analytical foundation for how fal builds and grows. Your domain spans the entirety of the developer journey—from initial acquisition to long-term expansion. You will turn raw behavioral and system signals into the metrics and insights that shape our product roadmap and go-to-market strategy.

This is a high-influence role where you will act as a strategic partner to Product, Engineering, and Marketing. Beyond domain-specific analysis, you will share ownership of the foundational data systems, standards, and experimentation frameworks that serve as the source of truth for the entire company.

What you’ll do

• Architect the metrics that define user success on fal and build the measurement systems to track activation, retention, and time-to-value across both our self-serve and B2B pipelines.
• Develop a deep, causal understanding of how customers discover, adopt, and grow on the platform to identify key expansion levers and acquisition opportunities.
• Own the instrumentation standards and data contracts that serve as the source of truth for product telemetry and core behavioral schemas.
• Surface insights through rigorous deep-dives and experimentation to influence product direction, pricing models, and go-to-market initiatives.
• Develop scalable data products including automated experimentation frameworks and canonical schemas that enable teams to self-serve and move faster.

What we are looking for

• 5+ years of experience in data science or analytics roles-ideally with API products, developer tools, or B2B SaaS platforms
• Advanced-level SQL and proficiency in Python for analytics, modeling, and experimentation
• Strong proficiency with dbt and orchestration tools like Dagster or Airflow for production pipeline
• Proven ability to work across teams to influence product roadmap and strategy
• Experience establishing data quality and governance practices, including lineage, testing, and documentation.
• Demonstrated bias for action and the ability to thrive in fast-moving, ambiguous environments.
• A track record of shipping data products or features, not just dashboards. You think like a Product Manager and build like an Engineer

Nice-to-haves

• Experience working on developer-facing products or platforms.
• Exposure to infrastructure, performance, or cost-related data (e.g., cloud usage, compute efficiency).
• Experience operating in early-stage or fast-scaling environments.
• Interest or experience in architecting data systems designed for agentic consumption and AI-driven product workflow

Compensation

• $190,000 - $230,000 + equity + comprehensive benefits package

What we offer at fal

• Interesting and challenging work
• A lot of learning and growth opportunities
• We offer visa sponsorship and will help you relocate to San Francisco.
• Health, dental, and vision insurance (US)
• Regular team events and offsites

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role:

You are an ML Researcher who has a broad view of the generative media space and an update-to-date awareness of new methods in the space. You can spot products and features that are missing in the current market and work backwards to develop new methods to solve customers problems. Sometimes your work will require entirely novel training or architecture developments. While other times it will require fine-tuning pre-existing models with novel datasets. You are able to consider the expected return on investment of different approaches, and more excited about using research to develop novel products, then research for research's sake.

Tech:

• You will have access to our massive GPU cluster for training and inference

• Some core technologies we use include Python, torch, diffusers, and the fal Python SDK

• You'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs

• You have work published in ICCV, ICML, Neurips, CVPR

What we offer at fal

• Interesting and challenging work

• Competitive salary and equity

• A lot of learning and growth opportunities

• We are currently hiring in downtown San Francisco. We prefer to work in-person but we also offer remote work opportunities for exceptional candidates.

• We offer visa sponsorship and will help you relocate to San Francisco.

• Health, dental, and vision insurance (US)

• Regular team events and offsites

You are a seasoned SRE who keeps production infrastructure running at scale. You own the reliability and availability of customer-facing systems — from Kubernetes clusters to deployment pipelines to the networking layer that connects it all. You think in SLOs, automate ruthlessly, and treat every incident as a chance to make the system better.

Key Responsibilities

• Own and operate our Kubernetes infrastructure: cluster lifecycle, upgrades, networking, and multi-tenant isolation for customer workloads
• Build and maintain CI/CD pipelines and deployment infrastructure
• Leverage AI to an extreme level to automate analysis and resolution of production issues, and improve software development speed, reliability and maintainability
• Build dashboards, alerting, and anomaly detection across our systems
• Define and enforce SLOs and build out incident response processes
• Manage and improve our networking, load balancing, and service mesh configurations
• Drive reliability improvements across the stack through automation, runbooks, and chaos engineering

Requirements

• 5+ years experience in managing critical production systems and software development workflows
• Strong production experience setting up and operating Kubernetes at scale, using infrastructure-as-code (Terraform, Ansible)
• Deep knowledge of Linux networking, container networking (CNI plugins, VXLAN, BGP), and DNS
• Experience building CI/CD systems and GitOps workflows (FluxCD, ArgoCD)
• Proficiency in Python and either Go or Bash for tooling and automation
• Strong experience with logging, monitoring and alerting (Prometheus, Grafana, Loki, Thanos, VictoriaMetrics, Datadog)
• Excellent communication and ability to drive technical decisions across teams
• Self-starter who executes quickly, takes ownership, and constantly seeks improvement

Nice to have

• Experience with managing GPU and AI/ML workloads
• Experience with kernel-based monitoring and routing (eBPF, XDP)
• Experience with security tooling (Falco, Coroot, SIEM)
• Experience with bare metal Kubernetes networking (Calico, Cilium, MetalLB)
• Experience with distributed storage systems (Ceph, Longhorn, etc.)

Location

• Turkey

What we offer at fal

• Interesting and challenging work
• A lot of learning and growth opportunities
• Regular team events and offsites

You are an experienced software engineer who thrives on building large-scale computing platforms. You have deep expertise in large scale distributed systems that deal with high complexity, a lot of traffic and data. You know how to achieve reliability and scale with minimum operational load.

Key responsibilities

• Build our core Python/Rust platform: request routing, AI workload orchestration, scheduling, GPU autoscaling, large scale file storage, queueing, etc
• Produce forward designs for platform evolution as we scale to 100x current traffic and need to provide low latency across the world
• Leverage AI to an extreme level to automate the mundane parts of building complex but reliable systems
• Profile and tune low level CPU and memory performance

Requirements

• 5+ years experience building distributed compute and orchestration platforms in Python or Rust
• Strong understanding of distributed systems fundamentals: consensus, scheduling, fault tolerance, capacity planning
• Deep understanding of computational complexity and memory allocation
• Track record of designing systems that scale under real production load
• Experience building and using observability to drive performance and reliability decisions
• Excellent communication and ability to drive technical decisions across teams
• Self-starter who executes quickly, takes ownership, and constantly seeks improvement

Nice to have

• Experience with AI/ML inference or training infrastructure
• Experience with high-performance systems programming (async runtimes, zero-copy, memory-safe concurrency)
• Background in building multi-tenant compute platforms
• Understanding of networking fundamentals and performance characteristics
• Familiarity with GPU workload characteristics and scheduling constraints

Location

• Turkey

What we offer at fal

• Interesting and challenging work
• A lot of learning and growth opportunities
• Regular team events and offsites

You are a hands-on engineer who builds the software and processes that keep a large fleet of GPU servers healthy and productive. You write systems and tooling for managing 1000s of servers including  provisioning, health monitoring, error detection, and recovery — and when something breaks that automation can’t fix, you drive resolution with partners.

Key responsibilities

• Build and maintain Python fleet tracking system that manages the full lifecycle of servers including contracting and procurement, target use, pricing, availability, health, RMAs, etc
• Build server management tooling that automates provisioning, health checks, GPU diagnostics, recovery and alerting
• Create and maintain metrics, dashboards, and alerting for hardware health across the fleet (GPU errors, disk failures, network issues, thermals)
• Leverage AI to an extreme level to build tools and automate alerting and recovery
• Implement and enforce OS-level security: hardening baselines, SELinux/AppArmor policies, SSH key management, vulnerability scanning, and compliance automation
• Manage and optimize distributed and local storage systems supporting model weights, checkpoints, and ephemeral scratch: NVMe arrays, NFS, parallel file systems, and object storage
• Tune Linux systems for AI workloads: kernel parameters, NUMA topology, CPU pinning, hugepages, I/O schedulers, and GPU driver stack optimization (NVIDIA drivers, CUDA, container runtimes)
• Develop a suite of automated error detection and recovery processes
• Work with partners to solve technical issues

Requirements

• 3+ years experience managing bare-metal and cloud based server fleets at scale (100+ nodes)
• Strong software engineering skills in Python; you write production tooling, not scripts
• Deep Linux systems knowledge: boot process, kernel tuning, networking, storage, systemd, cgroups, namespaces, performance profiling
• Strong experience with configuration management and infrastructure-as-code: Ansible, Terraform, cloud-init
• Solid understanding of storage technologies: LVM, RAID, NVMe, NFS, Lustre or GPFS, and Linux I/O stack tuning
• Familiarity with hardware diagnostics and failure modes (GPUs, NVMe, NICs, memory)
• Experience building internal tools or dashboards for infrastructure visibility
• Excellent communication and ability to drive technical decisions across teams
• Self-starter who executes quickly, takes ownership, and constantly seeks improvement

Nice to have

• Familiarity with network configuration and diagnostics (VLAN, VXLAN, ECMP, BGP, tcpdump)
• Experience with NVIDIA GPU infrastructure: driver management, health monitoring, DCGM, NVLink/NVSwitch diagnostics, RDMA, InfiniBand/RoCEv2
• Experience with AMD GPUs
• Experience with bare metal and VM provisioning (PXE/iPXE, Kickstart, libvirt, Qemu/KVM)
• Experience with compliance frameworks relevant to cloud providers (SOC 2, ISO 27001)

Compensation

• $180,000-250,000 plus equity + benefits

Location

• San Francisco, CA (we are open to remote in the US for Senior and Staff levels)

What we offer at fal

• Interesting and challenging work
• A lot of learning and growth opportunities
• We are offering relocation assistance to San Francisco.
• We offer relocation assistance to San Francisco.
• Health, dental, and vision insurance (US)
• Regular team events and offsites